Bart Borusiewicz

AI is quickly becoming part of the default game-dev toolchain—and at the same time, “AI in games” can trigger strong player reactions. In this fireside chat, we’ll share a practical, indie-studio view of where AI tools genuinely improve speed and alignment across production, where they introduce risk (quality consistency, creative ownership, and trust), and how teams can set clear lines so AI supports craft rather than replacing it. Expect real examples, pragmatic trade-offs, and lessons that apply even without a large team or dedicated AI engineers. The discussion will explore:

• Where AI helps most in practice across pre-production (placeholders, art and music inspiration packs, rough storyboards), production (pipeline momentum), and late-stage polish.
• Common failure modes (inconsistent quality, “generic” feel, rework loops) and how teams catch them early with lightweight review routines.
• Player perception and transparency: how to talk about AI use in a human way that protects trust, avoids unnecessary controversy, and stays consistent across marketing, localization and the shipped product.